Use caseProduct and competitor breakdown
HowOCR a peer's commerce carousel into product names, prices, and selling-point specs
ValueCompare selection and pricing side by side, no image-by-image checking
Douyin image text OCR tool
Pull the text out of Douyin carousel images, all at once
Douyin image posts increasingly bake lists, product specs, and tutorial steps into carousel images, with the body down to a single line. Saving a peer's product list, prices, and key points by screenshotting one image at a time is slow. MediaClaw's built-in image text extraction (OCR) reads the cover and every image, writes the text back to the collected record, and carries it through copy and export.
OCR the cover and every carousel image
A Douyin image post often has a dozen-plus carousel images. Image text extraction reads every one of them, not just the cover, pulling the product lists, prices, specs, and tutorial steps into copyable text.
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Results write back to the record
A record that only had title, body, and engagement becomes complete raw data once carousel text is added. You read it directly, copy it in full, and carry the image copy through CSV/Markdown export.
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Raw data lives in the extension, ready to use
This raw data is built inside the extension itself, collected, recognized, and exported in one place with no external tools. You can use it and export to CSV/Markdown right away. Collection and export are free, turn on OCR when you need it.
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Why MediaClaw
Why not phone screenshots or online OCR
The three old paths each stall on something, batch, accuracy, or moving images by hand. The real problem is the same: carousel text is disconnected from the Douyin data you're already collecting.
Whole carousel at once, not one at a time
Phone screenshot text grabs one image at a time, and a dozen carousel images is a grind. Image text extraction reads the whole post and lands results in one record.
Paid model, specs stay correct
Free OCR is inconsistent; stylized and vertical text in product specs, prices, and sizes produces errors, and one wrong digit misleads your product research. Image text extraction uses a steadier paid model.
No moving images by hand
Online OCR sites make you save and upload each image yourself, back to the manual grind. Image text extraction reads the collected Douyin post directly and skips the shuffle.
What the extracted text is good for
Pulling carousel text out is only step one. It gets useful once it's in the collected record.
| Use case | How | Value |
|---|---|---|
| Product and competitor breakdown | OCR a peer's commerce carousel into product names, prices, and selling-point specs | Compare selection and pricing side by side, no image-by-image checking |
| Tutorial carousel archiving | OCR step tutorials and list carousels, export Markdown into your library | A full step set becomes searchable text for faster reuse |
| Remix and script material | Pull a benchmark account's image-baked scripts and selling points into text | Analyze structure line by line, rewrite alongside the video transcript |
| Complete both image and video | Carousel text via OCR, video voiceover via transcript | Covers the raw data for both Douyin image and video content |
Use caseTutorial carousel archiving
HowOCR step tutorials and list carousels, export Markdown into your library
ValueA full step set becomes searchable text for faster reuse
Use caseRemix and script material
HowPull a benchmark account's image-baked scripts and selling points into text
ValueAnalyze structure line by line, rewrite alongside the video transcript
Use caseComplete both image and video
HowCarousel text via OCR, video voiceover via transcript
ValueCovers the raw data for both Douyin image and video content
FAQ
Pick a commerce carousel and run OCR once
Install MediaClaw for free, collect a few Douyin image posts, run image text extraction on one commerce carousel, and see how accurately it reads the product list or price table before you batch-process your benchmark set.